Metabolite Data for Antimycobacterial Amides from LC-MS/MS Analysis

A 3.7 KB dataset by Johannes Doering, last updated June 2026, investigating the metabolic degradation of Nα-Aroyl-N-aryl-phenylalanine amides (AAPs). The data likely contains results from LC-MS/MS analysis used to identify metabolites formed by cytochrome P450 enzymes. This work aims to inform chemical modifications to improve the metabolic stability of these antimycobacterial compounds.

Use Cases

• Identify metabolic soft spots in antimycobacterial amides based on LC-MS/MS metabolite data.
• Screen for cytochrome P450 enzyme inhibitors that could improve compound stability based on in vitro and in vivo results.
• Guide chemical modification strategies for drug candidates based on identified metabolite structures.

Strengths

• Dataset is focused on a specific class of antimycobacterial compounds (AAPs) with a clear research objective.
• Analysis includes both in vitro and in vivo experimental components to study degradation.

Limitations

• Dataset size is 3.7 KB, indicating a very limited scope or a summary of results.
• Row count and column-level documentation are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Data generated from LC-MS/MS analysis of compound metabolism, as described in the associated study.

Freshness

Last updated 2026-06-02 12:06:57; freshness should be verified.